Results 151 to 160 of about 5,509 (173)

Bayesian Modelling for Spatially Misaligned Health and Air Pollution Data Through the INLA-SPDE Approach

open access: yesSpatial Statistics, 2019
Abstract In air pollution studies a key issue concerns the change of support: pollutant concentrations are continuous phenomena in space but their measurements are typically available at a finite number of point-referenced monitoring stations or result from numerical models.
Marta Blangiardo   +2 more
exaly   +4 more sources

Derivative-Based Spatial Mediation With INLA-SPDE

open access: yesSpatial Statistics
Germana Garofalo   +2 more
exaly   +4 more sources
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Evaluating a Bayesian Modelling Approach (INLA-SPDE) for Environmental Mapping

Science of the Total Environment, 2017
Understanding the uncertainty in spatial modelling of environmental variables is important because it provides the end-users with the reliability of the maps. Over the past decades, Bayesian statistics has been successfully used. However, the conventional simulation-based Markov Chain Monte Carlo (MCMC) approaches are often computationally intensive ...
Brendan P Malone   +2 more
exaly   +3 more sources

A Geostatistical Model for Combined Analysis of Point-Level and Area-Level Data Using INLA and SPDE [PDF]

open access: yesSpatial Statistics, 2017
In this paper a Bayesian geostatistical model is presented for fusion of data obtained at point and areal resolutions. The model is fitted using the INLA and SPDE approaches.
Kerrie Mengersen   +2 more
exaly   +2 more sources

Spatiotemporal Modelling of Soil Organic Matter Changes in Jiangsu, China Between 1980 and 2006 Using INLA-SPDE

Geoderma, 2021
Abstract The growing human population and demand for food have significantly impacted soil resources. Understanding the spatiotemporal change of soil conditions is important to support food production, environmental sustainability, and climate change adaptation.
Budiman Minasny   +2 more
exaly   +2 more sources

A Bayesian Model for Estimating the Effects of Human Disturbance on Wildlife Habitats Based on Nighttime Light Data and INLA-SPDE

Applied Spatial Analysis and Policy, 2021
Nighttime light (NTL) data records the nocturnal emission signals of human activities and provides an accurate and continuous basis for the study of social and economic development. A new geostatistical model using NTL data is proposed to estimate the effects of human disturbance on wildlife habitats.
Changbai Xi   +4 more
openaire   +1 more source

Bayesian Analysis of Zero Inflated Spatiotemporal HIV/TB Child Mortality Data Through the INLA and SPDE Approaches: Applied to Data Observed Between 1992 and 2010 in Rural North East South Africa

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2013
Longitudinal mortality data with few deaths usually have problems of zero-inflation. This paper presents and applies two Bayesian models which cater for zero-inflation, spatial and temporal random effects.
Eustasius Musenge   +2 more
exaly   +2 more sources

Evaluating the Geographical Patterns of Intimate Partner Violence in Nigeria, Zambia, and Zimbabwe Using INLA-SPDE Approach

Recent data show that one in three women in Sub-Saharan Africa is abused at least once in her lifetime by an intimate partner. The fight against violence against women has thus been included among the targets of two Sustainable Development Goals of the United Nations.
Anna Maria Parroco, Micaela Arcaio
exaly   +3 more sources

Estimation of fine-resolution PM2.5 concentrations using the INLA-SPDE method

Atmospheric Pollution Research, 2023
Jingna Chen   +5 more
openaire   +1 more source

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